分类机

In view of the the difficulty of mixture gas's characteristic absorption spectrum line overlapped, a novel seriatim mixture gas recognition method based on Support Vector Machine two classes classification and recognition model was presented.

针对混合气体种类光谱识别中组分气体特征谱线重叠严重的问题，将支持向量机用于混合气体种类光谱识别中，提出了一种基于支持向量机二值分类识别模型的逐一混合气体种类识别方法。

Company products are mainly in the fields as follows: all kinds of fresh-cut flowers harvesting machinery, hierarchical classification of fresh-cut flowers, flowers produced water treatment line, bouquets bundlers / lines, flowers in addition to leaf machine, flower bulbs cleaning grading line (lilies, tulips, gladiolus, daffodils, iris, Freesia, hyacinth and other early spring flowering the kinds of the ball), refrigerated display equipment bouquets, flowers, container / flower buckets filling equipment, potatoes, onions automatic grading equipment, cucumber automatic classification line, product quality and technology in a leading position in similar enterprises in the Netherlands, sold 5 continents.

公司产品主要涉及的领域为：各类鲜切花采收机械，鲜切花分级分类，花束生产流水处理线，花束捆扎机/线，花枝除叶机，花卉种球清洗分级线(百合，郁金香，剑兰，水仙花，鸢尾，小苍兰，风信子和其他早春开花的种球)，花束冷藏展示设备，花卉容器/花卉水桶灌装设备，土豆，洋葱自动分级设备，黄瓜自动分级线，产品质量和技术处于荷兰同类企业领先地位，远销5大洲。

On the base of applied tech. and system structure, the key tech. are expressed in detail. It includes:Knowledge representation technology: it is described in two stages by "Depictive frame + Rule group"."Depictive frame" is used to reflect the factors concerning question field."Rule group" reflects the son-question in question field; knowledge management system: it is made up of knowledge-base editing component, factor classifying component, knowledge inspecting component and extractive knowledge component; uncertainty reasoning adopt method of elicitation search strategy and data drive controlled by member knowledge. It take reliability of compound proof at first. That can resolve the matching contradiction. Reasoning explanation introduce pre-text and followed method of resolving path. Knowledge discovery component take SLIQ as basic arithmetic. It provides classification model in two stage forms which aim at training suit. That is decision tree and productive rule.

在确定应用技术与系统结构的基础上，重点阐述了本文的核心技术，这包括：知识表示技术，采用&描述框架+规则组&的层次结构，&描述框架&用于描述问题域所涉及的因素，&规则组&反映问题域内的子问题；知识管理系统，由知识库编辑构件、因素分类构件、知识检测构件和知识求精构件组成；不确定性推理机采用启发式搜索策略，元知识控制的数据驱动，以复合证据可信度优先作为匹配冲突消解的策略，推理解释采用预置文本与求解路径追踪的方法；知识发现，采用SLIQ快速可伸缩算法，分类模型用判定树与产生式规则两种形式描述。

The rotational invariant descriptions were extracted in the recognition step and the SVM was used to recognize the characters on the chesses.

而后采用支持向量机分类方法，对棋子信息进行分类识别，同时分析处理了误差对识别准确率的影响。

The best accuracy, in two-class problem, can be as high as 79.0%, and in three-class problem, can be as high as 67.5%. These results show that the support vector machine is an effective method in the prediction of protein solvent accessibility.

其中，对两类数据的最优分类结果达到79.0%，对三类数据的最优分类结果达到67.5%，表明支持向量机是蛋白残基可溶性预测的一种有效方法。

The whole process of text representation were discussed — word segmentation, building stop words list, feature selection, weight computation and generating vector space. Aim at the influence of stop words, a list, which is fit for text categorization, is set up and makes the vector dimension reduce.

针对停用词对分类的影响，建立了适合文本分类的停用词表，使向量维数得到初步降低；对现有特征选择方法进行了介绍和对比，构造了一种适合支持向量机的特征选择函数——基于类内频率的特征选择函数。

After the vein pattern was segmented from the vein image by an improved NiBlack method,authors obtained the vein pattern skeleton by an improved conditional thinning algorithm.On the basis,the algorithm extracted seven modified moment invariants of the vein pattern skeleton as the input vector of SVM for the recognition of vein pattern.The experiments on a database including 500 samples has achieved a recognition rate of 95.5%,and it indicates the algorithm is effective.

算法在采用修正的NiBlack算法从原始图中分割出静脉纹路，然后采用改进的条件细化算法进行细化获得静脉骨架的基础上，提取静脉骨架的7个修正的几何不变矩作为支持向量机分类器的输入进行静脉分类识别，在有500个样本的数据库上进行实验，获得了95.5%的识别率，表明了算法的有效性。

At last, application of multiclass classifiers based on SVM in classification of noise signal is studied.

基于支持向量机的多类分类方法在实际舰船噪声样本集上的实验取得了良好的分类效果。

Theoretical analysis and experimental results show that the BTSVM algorithm is superior to other competitive multi classifiers.

理论和实验结果表明，本文提出的基于支撑向量机的多类分类器在整体性能上要优于其它类似的分类器系统。

Finally, experiments on UCI and HCL2000 datasets showed that the proposed method outperformed traditional OAO and OAA etc. methods in terms of recognition accuracy significantly.

基于UCI和HCL2000数据集的实验表明，新方法在处理多分类问题时，识别精度显著优于传统多分类支持向量机方法。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新